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3D Object Detection on KITTI Pedestrian (test)

2,849AP3D (Easy)YOLOStereo3D
-113.3672655.70891,424.7852,193.8611Dec 6, 2017Apr 24, 2019Sep 9, 2020Jan 26, 2022Jun 14, 2023Oct 30, 2024Mar 18, 2026

Evaluation results

MethodLinks
YOLOStereo3DTime=0.08s2021.032,8491,9751,648——————
OC StereoTime=0.35s, usage of point cloud or pretrained disparity=true2021.032,4481,7581,560——————
DSGNTime=0.67s, usage of point cloud or pretrained disparity=true2021.032,0531,5551,415——————
Pseudo-Stereo (Ours-fld)IoU threshold=0.5, Variant=feature-level generation2022.031,6951,0829261,9031,2231,053———
GUPNetIoU threshold=0.52022.031,4959768411,5621,037879———
GUP NetExtra=Image-only2022.071,472953787——————
Pseudo-Stereo (Ours-fcd)IoU threshold=0.5, Variant=feature clone2022.031,4339187861,7081,104959———
DD3DExtra=LiDAR2022.071,391930805——————
DD3DIoU threshold=0.7, metric=AP|R402023.031,3919308051,5901,085805———
DEVIANTExtra=Image-only2022.071,343865769——————
CaDDNIoU threshold=0.52022.031,2878146761,472941817———
CaDDNExtra=LiDAR2022.071,287814676——————
MonoDistillExtra=Depth2022.071,279817745——————
MonoFlexExtra=Image-only2022.071,189816681——————
MonoFlexIoU threshold=0.52022.039436315261,036736629———
Pseudo-Stereo (Ours-im)IoU threshold=0.5, Variant=image-level generation2022.03826524451994653572———
MonoDIS-MExtra=Image-only2022.07779514442——————
MonoDisIoU threshold=0.7, metric=AP|R402023.03779514442907581509———
MonoPSRIoU threshold=0.52022.03612400330724456411———
MonoPSRIoU threshold=0.7, metric=AP|R402023.03612400330724456411———
DFR-NetExtra=Depth2022.07609362339——————
DDMP-3DExtra=Depth2022.07493355301——————
M3D-RPNIoU threshold=0.7, metric=AP|R402023.03492348294565405329———
WeakMono3DIoU threshold=0.7, metric=AP|R402023.03462313287553386329———
D4LCNIoU threshold=0.52022.03455342283506386359———
MonoEFExtra=Odometry2022.07427279221——————
RT3DStereoTime=0.08s2021.03328245235——————
SSD3DIoU threshold=0.7, metric=AP|R402023.03231178148248209161———
OFTNetIoU threshold=0.7, metric=AP|R402023.036336351288151———
STDModality=LiDAR2019.0753.0844.2441.97——————
PointPillarsModality=LiDAR2019.0752.0843.5341.49——————
F-PointNetRuntime (s)=0.172017.1251.2144.8940.2358.0950.2247.2———
F-PointNetModality=RGB + LiDAR2019.0751.2144.8940.23——————
SECONDModality=LiDAR2019.0751.0742.5637.29——————
AVOD (Feature Pyramid)Runtime (s)=0.12017.1250.842.8140.8858.7551.0547.54———
AVOD-FPNModality=RGB + LiDAR2019.0750.842.8140.88——————
VoxelNetRuntime (s)=0.232017.1239.4833.6931.5146.1340.7438.11———
VoxelNetModality=LiDAR2019.0739.4833.6931.51——————
AVODRuntime (s)=0.082017.1238.2831.5126.9842.5135.2433.97———
AVODModality=RGB + LiDAR2019.0738.2831.5126.98——————
CMKDExtra Data=LIDAR2023.1217.7911.6910.09——————
CMKDTraining Data Source=KITTI trainval (~7.5k)2022.1117.7911.6910.0920.4213.4711.64———
MonoLSSExtra Data=None2023.1217.0911.2710——————
MonoDGP (+SPAN)Extra data=None2025.1116.6210.549.03——————
MonoDTRExtra Data=None2023.1215.3310.188.61——————
MonoDGPExtra data=None2025.1115.049.898.38——————
GUPNetExtra Data=None2023.1214.959.768.41——————
GUPNet2022.1114.959.768.4115.6210.378.79———
GUPNetExtra data=None2025.1114.729.537.87——————
OccupancyM3DExtra data=LiDAR2025.1114.689.157.8——————
MonoPGCExtra data=Depth2025.1114.169.678.26——————
CMKD*Training Data Source=KITTI Raw (~42k)2022.1113.948.797.4216.0310.288.85———
DD3DExtra Data=Depth2023.1213.919.38.05——————
DD3DExtra Datasets=DDAD15M2022.1113.919.38.0515.910.859.41———
DEVIANTExtra data=None2025.1113.438.657.69——————
MonoConExtra Data=None2023.1213.18.416.94——————
MonoConExtra data=None2025.1113.18.416.94——————
CaDDNExtra Data=LIDAR2023.1212.878.146.76——————
CaDDN2022.1112.878.146.7614.729.418.17———
CaDDNExtra data=LiDAR2025.1112.878.146.76——————
MonoDETRExtra data=None2025.1112.657.196.72——————
GUPNet++Extra data=None2025.1112.458.136.91——————
MonoDDEExtra Data=None2023.1211.137.326.67——————
MonoPairIoU threshold=0.72020.0310.026.685.5310.997.046.29———
MonoFlex2022.119.436.315.2610.367.366.29———
MonoPSR2022.118.374.743.689.875.784.57———
DFR-NetExtra Data=Depth2023.126.093.623.39——————
DFR-Net2022.116.093.623.396.664.523.71———
M3DSSDIoU threshold=0.52021.035.163.873.086.24.663.99———
M3D-RPNIoU threshold=0.52021.034.923.482.945.654.053.29———
M3D-RPNIoU threshold=0.72020.034.923.482.945.654.053.29———
D4LCNIoU threshold=0.52021.034.553.422.835.063.863.59———
SS3DIoU threshold=0.52021.032.311.781.482.482.091.61———
VirPro+GGA+PGD2026.031.0770511.591.0991———
GGA+PGD2026.030.5736270.870.6146———
CaDDN2022.05——————12.878.146.76
DFR-Net2022.05——————6.093.623.39
M3D-RPN2021.03——————4.923.482.94
M3D-RPN2022.05——————4.923.482.94
MonoDDE2022.05——————11.137.326.67
MonoFlex2022.05——————9.436.315.26
MonoPair2021.03——————10.026.685.53
MonoPair2022.05——————10.026.685.53
MonoPSR2021.03——————6.1243.3
MonoRUn2021.03——————10.886.785.83